284 Data Visualization Jobs in Mumbai - Page 8

Skills: SAS Visual Analytics, SQL, ETL Processes, Dashboard Creation, Data visualization, Reporting solutions, Job Summary Were looking for a SAS Visual Analytics Developer to join our team! In this role, youll help turn complex data into clear, easy-to-understand visualizations that drive business decisions You'll work closely with our team and stakeholders to create impactful reports and dashboards using SAS Visual Analytics. Key Responsibilities Build interactive reports and dashboards using SAS Visual Analytics. Analyze data to uncover trends and insights, and create visualizations that highlight these findings. Ensure your reports are accurate, clear, and meet business needs. Optimize and maintain dashboards to keep them running smoothly. Collaborate with business users to understand their reporting needs and deliver custom solutions. Troubleshoot any issues with existing reports and dashboards. Stay on top of new tools and trends in data analytics and visualization. Qualifications A basic understanding of data visualization concepts. Familiarity with SAS Visual Analytics (or similar tools) is a plus. Attention to detail and strong problem-solving skills. Good communication skills and the ability to work well with others. A passion for learning and growing in the field of data analytics.

Role Responsibilities Design, develop, and maintain the organization's business intelligence and reporting dashboards. Design, develop, and maintain data models and feeds for report development. Prepare insights based on data and reporting solutions. Collaborate with business stakeholders to understand reporting and analysis needs and translate them into technical requirements. Ensure that data is accurate and easily accessible for reporting and analysis. Develop and maintain persona-based dashboards, management reports and executive views to provide business insights. Experienced in Power BI to understand business needs and deliver technical solutions. Follow, learn, and share best practices for Power BI development. Ensure compliance with security and data privacy policies and regulations. Manage and prioritize workload and identify opportunities to streamline processes and improve efficiency. Keep up to date with industry trends and emerging technologies and evaluate their potential impact on business intelligence and reporting. Qualifications & Skills Bachelor's degree in Computer Science, Information Systems, or a related field Master of Business Administration preferred. At least 4 years of experience in business intelligence and reporting, with a focus on data visualization, dashboards, and reporting. Demonstrated experience with Microsoft Power BI, with proficiency in complex DAX, Power Query, tabular data modeling, visualizations, RLS, composite modeling, Power BI Service, Licensing, etc. Strong understanding of database systems, analytical processing, data modeling and ETL/DWH framework. Worked in advanced SQL and database technologies such as Microsoft SQL Server, Azure SQL Server, Oracle, and MySQL, and Amazon Redshift SQL. Experience with cloud-based data storage and processing technologies such as AWS or Azure Data Factory is a plus. Experience in end-to-end implementation projects as well as maintenance & support projects is a plus. Excellent communication skills, with the ability to collaborate effectively with cross-functional teams. Experienced across requirement analysis, solutioning, designing, modeling, implementation, testing, end-user communication. Work in diverse environments - geographical, cultural, and business is preferred. Ability to adapt to changing reporting requirements, priorities, and project timelines. Experience in Banking or Financial Services industry is a plus. Experience in Agile methodologies is preferred. Experience in Microsoft Excel, SharePoint Online, PowerAutomate, Draw.io, Power Apps, Administration, Governance, REST API, PowerShell, JavaScript, DAX Studio, Tabular Editor, Python, R programming, is a plus. Certification in Microsoft Power BI or SQL is a plus. Must Have: SQL (Minimum 3 4 years of hands-on experience), DAX, Power BI, Power Query, M Query. Location - Remote, Hyderabad,Ahmedabad,pune,chennai,kolkata. Mandatory Key Skills DAX,Power Query,data modeling,ETL,Data warehousing,Oracle,MySQL,Amazon Redshift,AWS,Azure Data Factory,Microsoft Excel,SharePoint Online,Power Automate,Power Apps,Business Intelligence*,Business reporting*,data visualization*,SQL*,Power BI*

To provide support on Business Planning and Analysis, delivering insightful and valuable analysis to the management team. Provide financial and administrative support to company/country organizations, focusing on financial planning and analysis Key Responsibilities: Support country BPAs & CFOs with the operational conversion of the BPA strategic goals for selective European markets. Work closely with country BPAs/CFOs teams to support financial activities, decision making and other projects Drive adoption and ensure smooth implementation of Hyderabad CoE standardized solutions (primarily Variable Spend and FTE/Personnel costs initiatives) in close collaboration with Hyderabad Strategy & Operations team thereby contributing to the HCoE vision. Support the improvement and streamlining of existing management reporting processes and implementation of processes through automated solutions provided by HCoE Ensure ongoing business performance is appropriately monitored, measured and drive early warning for re-direction of resources with Business Partners. Responsible for monthly closing activities with insightful analysis of Key KPIs and variances and ensure ongoing business performance is appropriately monitored and measured Co-ordinate business partnering with other areas of the business & support the annual budgeting/ 1FP process. Provide and gather accurate operational information to deliver target processes Collaborate with Process & Master Data Management teams / BPAs/CFOs of Country teams in delivering the P&L reports / solutions Provide analysis or reporting with particular emphasis on accuracy, compliance and timeliness of data provided. Ensure integrity of data provided by commercial teams and provide value added recommendations on forecast accuracy improvement Represent assigned countries in various forums thereby facilitating the HCoE journey Essential Requirements: MBA degree from a premier institute/Chartered Accountant with excellent academic record Minimum 5-9 years of experience in BPA Desirable Requirements: Financial Management, Operations Management and Execution Ability To Influence Key Stakeholders, Compliance And Controls. Critical Thinking, Data Visualization, Insight Generation. Strong written and oral communication skills Experience of working in multicultural / international environment

The role is responsible for driving sales development and implementing business plans within the Zone. This includes managing Acetyls Sales activities, developing regional sales strategies, and maintaining strong customer relationships. The position also involves reporting on sales performance, market trends, and competitive challenges, while coaching and developing the sales team . Key Responsibilities : Manage Acetyls Sales: Oversee and drive Acetyls Sales activities for selected accounts within the region. Strive to achieve and exceed sales and financial targets through effective account management and customer engagement. Analyze & Strategize: Conduct a thorough analysis of the region to identify key market opportunities and challenges. Develop and implement a robust regional sales strategy designed to meet and exceed established financial goals. Provide Leadership Insights: Deliver precise and actionable sales and expense reports, market trends, competitive challenges, economic indicators, and key successes to the Leadership Team. Use this information to influence the areas performance and contribute to the development of company-wide strategies. Coach & Develop Teams: Regularly evaluate and mentor team performance, focusing on meeting KPIs, developing Regional Sales Operating Plans, career development, and enhancing key identified employee competencies. Foster a culture of continuous improvement and professional growth. Build Customer Relationships: Maintain regular contact with customers, building and nurturing strong relationships that underscore their importance to our business. Establish mutual respect and trust, ensuring customer satisfaction and loyalty Report & Analyze: Ensure line managers provide timely and comprehensive reports on sales results, competitive activity, product issues, top customer highlights, market trends, and new business development opportunities. Use these insights to inform strategic decisions. The Person Educational Qualifications: A robust educational background in science, preferably in chemical engineering, with a strong preference for an MBA. This combination provides a comprehensive understanding of both technical and business aspects Functional Skills: Extensive Sales Leadership Experience: A minimum of 16 years of experience in leading the sales function, specifically with mid to large accounts. This includes a proven track record of achieving and exceeding sales targets. Leadership & People Management: Demonstrated excellence in leadership and management of people, with experience overseeing a team of at least 5 staff members. This includes recruiting, training, and developing high-performing sales teams. Strategic Planning & Execution: Ability to perform comprehensive market analysis and develop strategic sales plans that align with company goals. This involves setting clear objectives, forecasting sales, and implementing effective sales strategies. Customer Relationship Management: Strong skills in building and maintaining relationships with key customers. This includes understanding customer needs, providing tailored solutions, and ensuring high levels of customer satisfaction and loyalty. Analytical & Problem-Solving Skills: Proficiency in analyzing sales data, market trends, and competitive activities to identify opportunities and challenges. This includes developing actionable insights and strategies to drive business growth. Communication & Interpersonal Skills: Excellent communication skills, both verbal and written, to effectively convey ideas and strategies to the team and stakeholders. Strong interpersonal skills to foster collaboration and teamwork. Financial Acumen: Solid understanding of financial principles related to sales, including budgeting, forecasting, and expense management. Ability to provide accurate sales and expense reports to the leadership team. Adaptability & Resilience: Ability to adapt to changing market conditions and business environments. Demonstrated resilience in overcoming challenges and driving continuous improvement.

Osourceglobal is looking for Business Analyst to join our dynamic team and embark on a rewarding career journey. Gather, process, and interpret large volumes of structured and unstructured data to support business goals Create insightful dashboards and visualizations using tools like Power BI, Tableau, or Excel Develop models and forecasting tools to predict trends and identify opportunities for optimization Collaborate with internal teams to define metrics, KPIs, and deliver reports on performance and productivity Ensure data quality, consistency, and compliance with company standards Provide actionable recommendations based on data insights to improve decision-making

Job Description: Inviting applications for the role of POG Analyst! In this role, you will be responsible for executing space planning and planogram strategies to optimize retail space utilization, enhance customer experience, and drive sales. You will work closely with client teams to ensure seamless implementation of store layouts and product placements. Skillset : Strong analytical skills with the ability to interpret data and provide insights to the client. Proficiency in MS Office (Excel, PowerPoint) and data visualization tools like Power BI or Tableau. Excellent communication, stakeholder management, and problem-solving abilities. Experience working with multiple store formats and client-specific merchandising strategies. Responsibilities: Planogram & Space Optimization for the Client: Develop and implement planograms tailored to the client s store formats and merchandising strategies. Ensure that planograms align with the client s business objectives and localized assortment requirements. Leverage space planning tools (JDA/Blue Yonder, Relex, etc.) to enhance product visibility and sales. Operations & Execution: Ensure accurate execution of the client s space planning and merchandising strategies. Maintain governance and control over store layout data to ensure consistency across locations. Track and improve key performance metrics related to space utilization, planogram compliance, and operational efficiency. Stakeholder Management & Client Coordination: Act as the primary point of contact for the client s teams regarding space planning and execution. Work closely with the client s store managers, marketing, and operations teams to implement and optimize merchandising initiatives. Provide regular updates and insights to the client, addressing concerns and ensuring alignment with their business goals. Qualifications We Seek in You! Minimum Qualifications: Bachelors degree in Retail Management, Operations, Architecture, Civil Engineering, or related fields. Experience in space planning, planogram development, and retail store layout optimization for clients. Hands-on experience with space planning tools like JDA/Blue Yonder, Relex, Nexgen, or Apollo Retail. Preferred Qualifications/Skills: Strong analytical skills with the ability to interpret data and provide insights to the client. Proficiency in MS Office (Excel, PowerPoint) and data visualization tools like Power BI or Tableau. Excellent communication, stakeholder management, and problem-solving abilities. Experience working with multiple store formats and client-specific merchandising strategies. Additional Sills:

Job Description: We Are Inviting Applications for the Role of POG Manager! In this role, the incumbent will support retail space optimization efforts to enhance customer experience, drive sales, and ensure efficient product placement. The role requires a detail-oriented professional with expertise in space planning, floor planning, and retail operations. The incumbent will work closely with cross-functional teams, assist in data analysis, and contribute to the implementation of strategies that maximize the use of physical retail spaces while ensuring seamless execution of merchandising initiatives. Responsibilities: Space Planning & Planogramming: Assist in designing and implementing optimized store layouts using space planning software/tools. Support the development and delivery of planograms across various departments to improve product visibility and sales. Help assign store assortments to planograms (POGs) to ensure alignment with the client s presentation objectives and store layout. Operations Support & Team Collaboration: Support the team in delivering retail space planning and optimization initiatives for the client. Assist in monitoring SLAs, business performance metrics, and customer satisfaction levels. Help manage day-to-day operational activities, ensuring smooth execution of processes and timely issue resolution. Contribute to staffing and hiring processes by assisting in identifying resource needs and supporting onboarding activities. Support performance tracking, competency development, and career progression initiatives within the team. Cross-Functional Coordination: Work closely with store managers, marketing teams, and operations teams to support the execution of space planning and merchandising initiatives. Assist in coordinating communication between internal teams and external stakeholders to ensure smooth execution of retail strategies. Gather insights from the client s business teams and contribute to reporting, updates, and process improvements. Qualifications We Seek in You! Minimum Qualifications: Bachelor s or Master s degree in Retail Management, Operations, Architecture, Civil Engineering, or related fields. Prior experience in retail operations, space planning, or store layout optimization. Preferred Qualifications / Skills: Strong analytical skills and ability to support data-driven decision-making. Good organizational and prioritization skills to manage multiple tasks effectively. Proactive approach with attention to detail and a strong work ethic. Ability to adapt to different work environments and schedules as required. Strong problem-solving, communication, and collaboration skills. Familiarity with space planning tools like JDA/Blue Yonder, Relex Solutions, Nexgen, Dotactiv, Apollo Retail, or similar platforms. Proficiency in Microsoft Excel, Power BI, Tableau, and other data visualization tools. Additional Sills:

The Senior Manager - Monitoring & Evaluation (M&E) is responsible for designing, implementing, and managing a comprehensive M&E system to track the performance and impact of programs and projects. This role ensures that learning and evidence drive continuous program improvement and organizational growth. The Senior Manager will lead a team, develop frameworks, oversee data collection and analysis, and support donor reporting requirements. Key Responsibilities: Strategic Leadership: Lead the design and implementation of M&E strategies, frameworks, and systems aligned with organizational goals. Develop logical frameworks, KPIs, and theories of change for programs and projects. Integrate adaptive learning approaches and ensure utilization of M&E findings to improve program quality and impact. Monitoring & Evaluation Systems: Design and manage data collection tools and processes, including digital platforms where needed Ensure regular monitoring, analysis, and evaluation of program activities against targets Develop and oversee program dashboards, scorecards, and real-time reporting mechanisms Capacity Building: Build and strengthen M&E capacity across project teams through training, coaching, and support Create user-friendly guides, templates, and resources for program staff. Data Management and Analysis: Ensure data quality through effective verification, validation, and cleaning protocols Lead qualitative and quantitative data analysis to generate actionable insights Prepare high-quality reports, case studies, and evaluation summaries for internal and external audiences. Reporting and Compliance: Lead the preparation of M&E sections for donor proposals, reports, and evaluations. Ensure compliance with donor requirements and international M&E standards. Research and Learning: Design and manage evaluations, baseline studies, impact assessments, and special studies Foster a culture of learning and evidence-based decision-making within the organization. Required Qualifications and Experience: Masters degree in Social Sciences, Development Studies, Public Policy, Statistics, or a related field Minimum 8-10 years of relevant experience in Monitoring & Evaluation roles, preferably in the NGO, development, or social impact sector. Proven experience designing and implementing M&E systems for multi-donor, multi-sectoral projects Strong analytical skills and expertise in statistical software (e.g., SPSS, STATA, R) and data visualization tools (e.g., Power BI, Tableau). Experience with digital data collection platforms (e.g., KoboToolbox, CommCare, ODK). Excellent written and verbal communication skills. Demonstrated leadership abilities with experience managing teams and building capacity. Desired Competencies: Strategic thinking and problem-solving abilities Strong attention to detail and data-driven mindset Ability to manage multiple tasks under tight deadlines Collaborative, with excellent interpersonal and facilitation skills Familiarity with participatory M&E approaches and human-centered design is an advantage.

Responsibilities : The incumbent will lead a team of data scientists and campaign managers. S/He will work closely with cross functional teams like Subscriber Marketing, Content, Product, IT, Tech, and Customer Operations to identify & solve key business problems. Key responsibilities for this position are listed below: - Leverage Gen AI for Transformational initiatives at across various offerings - DTH, mobile app. - Building and improving Recommendation Engines, Propensity Modelling, Unsupervised Learning, Fraud Detection, Patterns & Visualisations - Improving the Quality, Performance and Effectiveness of the campaigns - Working on various statistical and data science models to test and evaluate them - Evaluating models and predict performance of data science models using ROC curve and Lift Analysis - Providing expertise to the organisation on statistical techniques - Building deep learning based complex systems utilising structured and unstructured data - Setting up and manage a team of data scientists and campaign managers - Collaborating with data engineering team on building data marts, reports, data warehouse, data pipelines and data tracking mechanisms - Micro segment the base for better upsell of content. Leverage AMS (Audience Measurement system). - Integrate data science models into various campaigns - Manage various segmented upselling and retention campaigns which will be administered through various modes of communication e.g. outbound, TV channels, SMS, emails, App Notifications, website etc The Person : - 10+ years in the Data Science and Analytics domain - Expertise in Predictive Analytics & Machine Learning concepts like such as regression, classification, SVM, recommendation engines, neural network etc. - Hands On experience to open source analytical tools - such as R, Python - Hands On experience of data visualization tools like Tableau - Experience of working on web analytics using tools like Mix Panel for analytics and experimentation - Exposure to implementing data science solutions in production environments - Exposure to Gen AI technology for solving business problems like NLU Search, CVM, Metadata enrichment etc. - Understanding of analytical architecture components; query languages, web services, APIs etc - Experience working on cloud and it's components: AWS / Azure / Google Cloud Platform (any one) - Experience working on Big Data technologies like Spark, PySpark, SparkR etc - Proven experience in Model to Market - Good understanding of commercial (revenue and retention) aspects of the business. - Experience of leading and driving multiple complex projects with a sharp customer-focus - Sound problem identification, judgment, resolution and decision-making skills - Innovation oriented and a proponent of disruptive and out-of-the-box thinking - High level of integrity, ownership and accountability - Excellent written and verbal communications; ability to articulate thoughts clearly and concisely; excellent interpersonal skills.

Job description A Python Developer is an expert in server-side web application logic. They are responsible for using Python language to develop, debug, and implement application projects. They also connect the program to other external web services and assist front-end developers by integrating their work into the Python application. Responsibilities: Develop and maintain Python scripts for data analysis and manipulation. Utilize pandas library for efficient handling and processing of structured data. Work with numerical files, including CSV, Excel, and other formats. Collaborate with cross-functional teams to understand data requirements and deliver effective solutions. Design and implement data processing pipelines. Requirements: Bachelor s degree in Computer Science, Engineering, or a related field. Proven experience (2-4 years) as a Python Developer with a focus on data analytics. Strong proficiency in Python programming language. Experience with pandas library for data manipulation and analysis. Familiarity with handling numerical files such as CSV, Excel, etc. Good understanding of data structures and algorithms. Excellent problem-solving and analytical skills. Preferred Skills: Knowledge of data visualization tools like Matplotlib or Seaborn. Experience with machine learning libraries (e.g., scikit-learn) is a plus. Strong communication and teamwork skills.

Why We Work at Dun & Bradstreet Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careers . Designation - Analyst Business Unit - Country Insights Group Location - Turbhe, Navi Mumbai Key Responsibilities: Conduct in-depth data analysis with expertise in input-output models, cost-benefit analysis, and bespoke scenario projections. Develop and construct economic and social impact assessment models for companies, sectors, and projects. Develop insightful whitepapers at the intersection of economics and business, translating complex data and trends into compelling narratives that inform strategic decision-making and support thought leadership initiatives. Produce high quality, client-ready reports, and presentation decks. Contribute creatively and constructively to new project proposals and ideas, as well as proactively seeking and developing new business opportunities. Effective communication with clients on behalf of the company to understand their needs and communicating complex economic reasoning and explaining our analytical findings. Key Requirements: 2-4 years of experience in economic consultancy or research. Strong academic education with a master s degree in economics or MBA. Strong secondary research skills, with the ability to gather, analyze, and synthesize information from credible sources such as government publications, industry reports, academic journals, and news databases. Strong familiarity with input-output modelling. Advanced working knowledge of MS Excel, and data visualization tools such as MS Power BI and Tableau. Strong written and verbal communication skills, including the ability to explain economic concepts and quantitative results, to non-specialists.

In this position, you will get to: - mote People Analytics & Workforce Reporting strategy, support model and execution - Develop in partnership with Manager analytics deliverables (e.g. Board Reporting, People and Culture Scorecard, etc.) - Lead monthly and quarterly reporting cesses to include updating Tableau Dashboards, gather from Tableau Dashboards, and vide ESG metrics to Leadership - Assist and monitor the security and access of Tableau HR Enterprise Hub - Lead the execution of ad hoc manual requests from stakeholders - Generate to yield valuable organizational, functional and segment actions You have: - Academic background in Bachelor Degree Previous experience in or with: - Total 5+ years analytics experience, preferably within Human Resources or People Reporting capacity - 3+ years of experience using Tableau and/or dashboard creation & data visualization skills and - 2+ years of experience using HRIS software, preferably Workday Skills: - Advanced Microsoft Excel skills, including advanced formulas, V Lookups and Pivot Tables - Strong organizational skills, particularly in managing multiple ject priorities simultaneously - Ability to collaborate with peers We have: A dynamic global reach with diverse operations around the world that will stretch your abilities, vide plentiful career opportunities, and allow you to make an impact every day We are a $3 billion, high-performance electrical company with a dedicated team of 13,132 plus people, across more than 80 global locations We have a robust portfolio of duct brands dating back more than 100 years and including: nVent CADDY, ERICO, HOFFMAN, and SCHROFF Commitment to strengthen communities where our employees live and work We encourage and support the philanthropic activities of our employees worldwide Through our nVent in Action matching gram, we vide funds to nonfit and educational organizations where our employees volunteer or donate money Core values that shape our culture and drive us to deliver the best for our employees and our customers. We're known for being: - Innovative & adaptable - Dedicated to absolute integrity - Focused on the customer first - Respectful and team oriented - Optimistic and energizing - Accountable for performance - Benefits to support the lives of our employees

To work with internal and external stakeholders, to strategize, plan, budget estimate and implementations of the same. In particular, be responsible for Analysing of data, Data Mining,Root Cause analysis, process improvement. Were looking for someone with at least 5 years of experience in a position monitoring, managing, and drawing insights from data ACCOUNTABILITIES Developing and maintaining databases reorganizing data in a readable format Performing analysis and share findings to assess quality and data interpretation Using statistical tools to identify, analyse, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time. Preparing reports for the management stating trends, patterns, and predictions using relevant data Preparing final analysis reports for the stakeholders and clients to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends. Solution-oriented, responding to clients emails and queries based on the finding and data interpretation. Examine, interpret and report results of analytical initiatives to internal and external stakeholders in leadership, sales, marketing. Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company. QUALIFICATION Graduate in any discipline Master degree will be an added Advantage Experience of minimum 4 years JOB KNOWLEDGE, SKILLS & EXPERIENCE Strong mathematical skills to help collect, measure, organize and analyse data Problem-solving & Analytical skills Accuracy and attention to detail Adept at queries, writing reports, making presentations and responding to client emails Team-working skills Verbal and Written communication skills Proven working experience in data analysis & data visualization KEY RELATIONSHIPS/ CUSTOMERS Internal teams Top management External stakeholders Notice period: 15 days- 1 month Skills : - Data Interpretation Data Analysis Business Intelligence Data Visualization Stakeholder Presentations Client Communication Analytics Reporting Data Insights Data Storytelling Data Presentation Reporting Decision Support Business Analytics Dashboard Creation Quantitative Analysis Data-driven Decision Making Advanced Excel/Power BI/Tableau Stakeholder Engagement Data Communication KPI Reporting Strategic Analysis Client-focused Analysis Cross-functional Collaboration Presentation Skills Technical Reporting Data Trends Analytical Thinking Client-facing Role Insights Generation Predictive Analytics

Job highlights Were looking for someone with at least 5 years of experience in a position monitoring,managing,and drawing insights from data. ACCOUNTABILITIES Graduate in any discipline Experience of minimum 4 years . JOB KNOWLEDGE,SKILLS & EXPERIENCE. Strong mathematical skills to help collect,measure,organize and analyse data Job match score Early Applicant Keyskills Location Work Experience Job description To work with internal and external stakeholders, to strategize, plan, budget estimate and implementations of the same. In particular, be responsible for Analysing of data, Data Mining,Root Cause analysis, process improvement. Were looking for someone with at least 5 years of experience in a position monitoring, managing, and drawing insights from data ACCOUNTABILITIES Developing and maintaining databases reorganizing data in a readable format Performing analysis and share findings to assess quality and data interpretation Using statistical tools to identify, analyse, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time. Preparing reports for the management stating trends, patterns, and predictions using relevant data Preparing final analysis reports for the stakeholders and clients to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends. Solution-oriented, responding to clients emails and queries based on the finding and data interpretation. Examine, interpret and report results of analytical initiatives to internal and external stakeholders in leadership, sales, marketing. Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company. QUALIFICATION Graduate in any discipline Master degree will be an added Advantage Experience of minimum 4 years JOB KNOWLEDGE, SKILLS & EXPERIENCE Strong mathematical skills to help collect, measure, organize and analyse data Problem-solving & Analytical skills Accuracy and attention to detail Adept at queries, writing reports, making presentations and responding to client emails Team-working skills Verbal and Written communication skills Proven working experience in data analysis & data visualization KEY RELATIONSHIPS/ CUSTOMERS Internal teams Top management External stakeholders

Job highlights Were looking for someone with at least 5 years of experience in a position monitoring,managing,and drawing insights from data. ACCOUNTABILITIES Graduate in any discipline Experience of minimum 4 years . JOB KNOWLEDGE,SKILLS & EXPERIENCE. Strong mathematical skills to help collect,measure,organize and analyse data Job match score Early Applicant Keyskills Location Work Experience Job description To work with internal and external stakeholders, to strategize, plan, budget estimate and implementations of the same. In particular, be responsible for Analysing of data, Data Mining,Root Cause analysis, process improvement. Were looking for someone with at least 5 years of experience in a position monitoring, managing, and drawing insights from data ACCOUNTABILITIES Developing and maintaining databases reorganizing data in a readable format Performing analysis and share findings to assess quality and data interpretation Using statistical tools to identify, analyse, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time. Preparing reports for the management stating trends, patterns, and predictions using relevant data Preparing final analysis reports for the stakeholders and clients to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends. Solution-oriented, responding to clients emails and queries based on the finding and data interpretation. Examine, interpret and report results of analytical initiatives to internal and external stakeholders in leadership, sales, marketing. Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company. QUALIFICATION Graduate in any discipline Master degree will be an added Advantage Experience of minimum 4 years JOB KNOWLEDGE, SKILLS & EXPERIENCE Strong mathematical skills to help collect, measure, organize and analyse data Problem-solving & Analytical skills Accuracy and attention to detail Adept at queries, writing reports, making presentations and responding to client emails Team-working skills Verbal and Written communication skills Proven working experience in data analysis & data visualization KEY RELATIONSHIPS/ CUSTOMERS Internal teams Top management External stakeholders Location : MUMBAI ALL AREAS, MUMBAI SUBURBS

Requirements : We are looking for bright, young engineers with good mathematics skills and an interest in data analytics/science. Knowledge of the following will be advantageous : - SQL Query writing - MS Power BI - Python/R for data science Responsibilities : Selected candidates will be responsible for the following : - Data Cleaning and Preparation : This involves filtering the data, handling missing values, and preparing the dataset for analysis to ensure accuracy and relevance. - Data Exploration and Analysis : Analysts use statistical tools and techniques to explore and analyze data, identifying patterns, relationships, and trends. - Data Visualization : They create visual representations of data findings through charts, graphs, and dashboards to make the data understandable. - Reporting : Data analysts prepare reports and presentations to communicate the insights and findings from the data to stakeholders, which can influence policy and decision-making processes. - Collaboration : They often work with other departments to understand their data needs and help them make informed decisions based on data insights. - Understand requirements given by business users in the functional domain. - Access data stored in databases/warehouses/flat files. - Create/test/deploy intuitive and interactive, analytical dashboards. - Create algorithms in Python/R for advanced analytics. - Create data governance policies like RLS to manage data security.

GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Data Analysis, you'll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Triple-check some delivery data and ensure client expectations are reflected in every batch. Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI s answers. Correct the model s responses based on your domain-specific knowledge. Ensure taxonomies are logical, consistent, and aligned with operational needs. You have a Bachelor s degree in Statistics, Computer Science, Information Systems, Data Science, Mathematics. You have at least 3 years of professional experience in Data Analysis. You have experience with prompt engineering (basic to intermediate level) and have Basic-to-Intermediate Python Scripting and SQL understanding. You are proficient in spreadsheet tools such as Google Sheets, Excel. You have experience with interpreting data visualization & reporting (e.g., dashboards). You have a strong command of taxonomy and classification design. Your level of English is advanced (C1) or above . You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Use Design thinking and a consultative approach to conceive cutting edge technology solutions for business problems, mining core Insights as a service model Contribute to a global business and technology consulting team responsible for developing and delivering innovative offerings and solutions Contribute in the capacity of a business analyst/data business analyst to Data projects Participate in business requirements / functional specification definition, scope management, data analysis and design, in collaboration with both business stakeholders and IT teams Document detailed business requirements, develop solution design and specifications Support and coordinate system implementations through the project lifecycle (initiation, planning, analysis / design, development, implementation, testing, rollout, and hand-over) working with other teams on a local and global basis Elicit requirements using interviews, requirements workshops, surveys, business process analysis, use cases, scenarios, and workflow analysis Work closely with the solutions architecture team to define the target detailed solution to deliver the business requirements. Engage with project activities across the Information lifecycle, often related to paradigms like Building & managing Business data lakes and ingesting data streams to prepare data Developing machine learning and predictive models to analyse data Visualizing data Empowering Information consumers with agile Data Models that enable Self-Service BI Your Profile Proven working experience as a Data Business Analyst or Business Analyst with overall experience of min 5 to 9+ years Business analyst with Data background is preferred Preferably, person should have domain knowledge on CPRD/ FS/ MALS/ Utilities/ TMT Strong knowledge of database languages such as SQL and ETL frameworks; spreadsheet tools such as Microsoft Excel; and data visualization software such as Power BI, Tableau, Qlik Independently able to work with Product Management team and prepare Functional Analysis, User Stories Experience in technical writing skills to create Business Requirement Document (BRD), Functional Specification Document (FSD), Non-functional Requirement document, User Manual &Use Cases Specifications Comprehensive & solid experience of SCRUM as well as SDLC methodologies What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Job Description: Responsibilities: Design and develop interactive reports and dashboards using SAS Visual Analytics. Work closely with business stakeholders to understand their reporting requirements and translate them into actionable insights. Analyze complex datasets and identify trends, patterns, and anomalies to drive business outcomes. Optimize data visualization techniques to effectively communicate key metrics and performance indicators. Collaborate with cross-functional teams, including data engineers, analysts, and business users, to deliver high-quality BI solutions. Ensure data accuracy, consistency, and integrity in all reporting deliverables. Provide technical guidance and support to junior team members and end users as needed. Stay abreast of industry trends and best practices in data visualization and analytics. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .

Proficient in capital markets analytics and statistical modeling. Experienced in Tableau and Power BI for building dashboards and data visualizations. Skilled in SQL, Databricks, R, and Python for analytical problem-solving. Strong understanding of leasing, financial, and market trend analysis with a focus on delivering actionable insights to stakeholders. Expertise in collaborating with business teams to develop analytical solutions, perform predictive modeling, and ensure continuous learning of emerging tools and methods. Location: Chennai, Hyderabad, Kolkata, Pune, Ahmedbad, Pan India

Design, develop, and maintain Cognos dashboards and reports to visualize data insights and support business objectives Collaborate with stakeholders to gather requirements and translate them into effective visualizations Optimize Cognos performance and ensure scalability of dashboards for large datasets Develop and maintain SQL queries for data transformation, and Analytics processes Work closely with the data engineering team to ensure the availability and quality of data for reporting purposes Conduct thorough testing and validation of Cognos dashboards to ensure accuracy and reliability of data visualizations Provide technical support and troubleshooting assistance to end-users regarding Cognos dashboards and related data issues Stay updated with the latest Cognos features, best practices, and industry trends to continuously improve reporting solutions Solid RDBMS experience and data modelling and advanced querying skills. Good to have other BI tool knowledge like Tableau and BI migration experience from Source BI tool to Tableau Strong ability to extract information by questioning, active listening, and interviewing. Strong analytical and problem-solving skills. Excellent writing skills, with the ability to create clear requirements, specifications, and Documentation. Location - Remote, Hyderabad,Ahmedabad,pune,chennai,kolkata.

Role & responsibilities Monitor the monthly business plan segment-wise along with business Monitor the performance and potential & strategic customers Monitor the regional business plan along with regions and identify the gaps Industry & Competition data analysis along with strategy team Sectoral analysis and strategy along with the Business Development team Identify white spaces for growth of share of Business along with Business team Monitor channel performance along with marketing team Monitor New Projects Initiatives along with all stakeholders PI development & opportunity identification along with Business Finance Team Maintaining and updating operational status of tasks with team members Managing weekly conversation with leadership of stakeholder teams Sharing newer insights and co-relations to identify opportunities/causation Managing & developing monthly and other periodic reviews Leading in designing structural analytics and knowhow Act as a repository of category information Developing allied industry compendium Other operational tasks as necessary to support the category team Preferred candidate profile Deep understanding and experience with the ability to practically apply Result-Oriented: ability to take actions and implement effective solutions in a timely manner Problem Solver: A creative yet pragmatic problem solver Analytical Thinking and Decision-Making: A conceptualizer” of enterprise and market trends/issues who can then integrate that thinking into marketing and business strategies Teamwork and Interpersonal Skills: A team player and builder, receptive to ideas from others. Excellent interpersonal skills and an ability to interact successfully with all levels of management as well as a diverse workforce Ethics: Highest level of professional integrity and honesty as well as personal credibility

Company Overview: Neuraleap Technologies Group is a forward-thinking technology firm dedicated to leveraging innovative solutions to transform data into actionable insights. Our mission is to empower businesses to make informed decisions through comprehensive analytics and sustainable technological practices. We value integrity, collaboration, and continuous improvement in our work culture. Join us in our quest to redefine technological excellence. Role Responsibilities: Develop and maintain management information systems (MIS) to provide accurate reports. Gather, analyze, and interpret data from various sources. Create visually engaging reports and dashboards for stakeholders. Monitor and maintain data integrity across various systems. Conduct regular audits on data input and output processes. Work closely with different departments to streamline data gathering processes. Ensure timely dissemination of reports to relevant stakeholders. Provide insights and recommendations based on data analysis. Implement best practices for data management and reporting. Assist in training team members on MIS tools and methodologies. Stay updated with industry trends regarding data management and analytics. Contribute to the development of new MIS initiatives. Troubleshoot and address any data-related issues promptly. Collaborate with IT teams to enhance system performance. Prepare ad-hoc reports as requested by management. Support strategic planning through data analysis. Qualifications: Bachelor s degree in Business, IT, or related field. Proven experience as an MIS Executive or similar role. Strong proficiency in MS Excel and reporting tools. Experience with database management and data modeling. Excellent analytical and problem-solving skills. Strong attention to detail with a focus on accuracy. Ability to communicate complex data in an understandable manner. Familiarity with statistical analysis techniques. Strong organizational and time management skills. Ability to work independently and collaboratively. Knowledge of data visualization tools is a plus. Experience working with large data sets. Strong numerical and analytical skills. Proven ability to meet deadlines and manage multiple tasks. Willingness to learn new technologies and tools. Flexibility and adaptability in a fast-paced environment.

We are seeking a skilled Data Scientist with 2 to 5 years of experience, specializing in Machine Learning, PySpark, and Data bricks, with a proven track record in long-range demand and sales forecasting. This role is crucial for the development and implementation of an automotive OEM\u2019s next-generation Intelligent Forecast Application. The position will involve building, optimizing, and deploying large-scale machine learning models for complex, long-term forecasting challenges using distributed computing frameworks, specifically PySpark on the Data bricks platform. The work will directly support strategic decision-making across the automotive value chain, including areas like long-term demand planning, production scheduling, and inventory optimization. The ideal candidate will have hands-on experience developing and deploying ML models for forecasting, particularly long-range predictions, in a production environment using PySpark and Data bricks. This role requires strong technical skills in machine learning, big data processing, and time series forecasting, combined with the ability to work effectively within a technical team to deliver robust and scalable long-range forecasting solutions. Role & Responsibilities: Machine Learning Model Development & Implementation for Long-Range Forecasting: Design, develop, and implement scalable and accurate machine learning models specifically for long-range demand and sales forecasting challenges. Data Processing and Feature Engineering with PySpark: Build and optimize large-scale data pipelines for ingesting, cleaning, transforming, and engineering features relevant to long-range forecasting from diverse, complex automotive datasets using PySpark on Data bricks. Deployment and MLOps on Data bricks: Develop and implement robust code for model training, inference, and deployment of long-range forecasting models directly within the Data bricks platform. Performance Evaluation & Optimization: Evaluate long-range forecasting model performance using relevant metrics (e.g., MAE, RMSE, MAPE, considering metrics suitable for longer horizons) and optimize models and data processing pipelines for improved accuracy and efficiency within the PySpark/Data bricks ecosystem. Work effectively as part of a technical team, collaborating with other data scientists, data engineers, and software developers to integrate ML long-range forecasting solutions into the broader forecasting application built on Data bricks. Communicate technical details and forecasting results effectively within the technical team. Requirements Bachelors or Masters degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a closely related quantitative field. 2 to 5 years of hands-on experience in a Data Scientist or Machine Learning Engineer role. Proven experience developing and deploying machine learning models in a production environment. Demonstrated experience in long-range demand and sales forecasting. Significant hands-on experience with PySpark for large-scale data processing and machine learning. Extensive practical experience working with the Data bricks platform, including notebooks, jobs, and ML capabilities Expert proficiency in PySpark. Expert proficiency in the Data bricks platform. Strong proficiency in Python and SQL. Experience with machine learning libraries compatible with PySpark (e.g., MLlib, or integrating other libraries). Experience with advanced time series forecasting techniques and their implementation. Experience with distributed computing concepts and optimization techniques relevant to PySpark. Hands-on experience with a major cloud provider (Azure, AWS, or GCP) in the context of using Data bricks. Familiarity with MLOps concepts and tools used in a Databricks environment. Experience with data visualization tools. Analytical skills with a deep understanding of machine learning algorithms and their application to forecasting. Ability to troubleshoot and solve complex technical problems related to big data and machine learning workflows. Preferred / Good to have : Experience with specific long-range forecasting methodologies and libraries used in a distributed environment. Experience with real-time or streaming data processing using PySpark for near-term forecasting components that might complement long-range models. Familiarity with automotive data types relevant to long-range forecasting (e.g., economic indicators affecting car sales, long-term market trends). Experience with distributed version control systems (e.g., Git). Knowledge of agile development methodologies. Preferred Location is Kolkata + Should be open to travel to Jaipur & Bangalore.

Manager MIS Location: Mumbai Work Mode: On-site About Cerebrus Consulting: At Cerebrus Consulting, we empower professionals to build a strong foundation for long-term success. Our cross-industry projects provide broad exposure and valuable insights into diverse business functions. Join us to chart an exceptional career growth path in a dynamic and collaborative environment. Role Overview: We are seeking an experienced and results-driven Manager MIS to lead the analytics and management information delivery function. This role requires a strong business acumen, hands-on data expertise, and a proactive approach to delivering timely, accurate, and actionable insights to our clients. Key Responsibilities: Design, develop, and manage dashboards, key performance indicators (KPIs), and recurring business reports. Lead initiatives to standardize and automate reporting processes, ensuring efficiency and data accuracy. Ensure adherence to data security and compliance requirements. Partner with stakeholders to translate business needs into effective analytical solutions. Role Requirements: Must be available to work from the office. Capable of producing detailed and client-ready reports that support strategic decision-making. Qualifications and Experience: Bachelors or Master’s degree in Business, Finance, Statistics, Information Systems, or a related discipline. Minimum 5 years of experience in MIS, business intelligence, or data analytics, including at least 2–3 years in a team leadership role. Advanced proficiency in MS Excel, Power BI, Tableau, and SQL. Solid understanding of database architecture, data structures, and visualization techniques. Strong analytical mindset, exceptional problem-solving skills, and a high level of attention to detail. Excellent interpersonal, communication, and stakeholder management skills. Preferred Skills: Prior experience in a consulting firm or shared services environment. Familiarity with cloud-based data platforms such as Microsoft Azure or AWS. Ability to manage multiple priorities in a fast-paced, high-demand setting. Why Cerebrus? Fast-paced learning environment Cross-industry exposure